Marketing intelligent systems using soft computing [electronic resource] : managerial and research applications / Jorge Casillas and Francisco J. Martínez-López (eds.)

The success of companies is partly dependent on the generation of suitable knowledge upon which to base decision-making, and due to the centrality of the marketing function in organizations, marketing-related knowledge is of strategic relevance. In this connection, it is unlikely to reach a full und...

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Bibliographic Details
Online Access: Full Text (via Springer)
Other Authors: Casillas, J. (Jorge), Martínez-López, Francisco J. (Francisco José)
Format: Electronic eBook
Language:English
Published: Berlin : Springer-Verlag, ©2010.
Series:Studies in fuzziness and soft computing ; v. 258.
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Summary:The success of companies is partly dependent on the generation of suitable knowledge upon which to base decision-making, and due to the centrality of the marketing function in organizations, marketing-related knowledge is of strategic relevance. In this connection, it is unlikely to reach a full understanding of any set of systems supporting marketing management without paying the necessary attention to the Artificial Intelligence-based methodologies applied to aid marketing-related decisions. However, as yet these methods are both under-developed and under-used. This book represents a notable and creative step forward in this respect. The editorial project has especially focused on the so-called Marketing Intelligent Systems, a cutting-edge category for marketing management support that focuses on a sophisticated treatment of knowledge by Soft Computing and other machine learning techniques. The reader will find smart reflections on this general theme from diverse world-leading marketing academics through short essays, and a collection of chapters devoted to a variety of applications - segmentation, modeling, e-commerce, etc. - using different technologies such as clustering, evolutionary algorithms, multi-agent systems, or fuzzy logic.
Physical Description:1 online resource (xiii, 473 pages) : illustrations.
Bibliography:Includes bibliographical references.
ISBN:9783642156069
3642156061
Language:English.
Source of Description, Etc. Note:Print version record.